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		<secondarykey>INPE-6949-PRE/2911</secondarykey>
		<isbn>85-17-00015-3</isbn>
		<label>8177</label>
		<citationkey>GomesMald:1998:AnCoPr</citationkey>
		<title>Análise de componentes principais em imagens multitemporais TM/Landsat como subsídio aos estudos de vulnerabilidade à perda de solo em ambiente semi-árido</title>
		<format>[CD-ROM]</format>
		<year>1998</year>
		<secondarydate>19981217</secondarydate>
		<secondarytype>PRE CN</secondarytype>
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		<author>Gomes, Alessandra Rodrigues,</author>
		<author>Maldonado, Francisco Dario,</author>
		<group>DSR-INPE-MCT-BR</group>
		<group>DSR-INPE-MCT-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>agomes@ltid.inpe.br</electronicmailaddress>
		<electronicmailaddress>francis@ltid.inpe.br</electronicmailaddress>
		<editor>Krug, Thelma,</editor>
		<editor>Rudorff, Bernardo Friedrich Theodor,</editor>
		<editor>Freitas, Ubirajara Moura de,</editor>
		<e-mailaddress>erich@sid.inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 9 (SBSR).</conferencename>
		<conferencelocation>Santos</conferencelocation>
		<date>11-18 set. 1998</date>
		<publisher>INPE</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>959-968</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Sessoes Orais</tertiarytype>
		<organization>Instituto Nacional de Pesquisas Espaciais</organization>
		<transferableflag>1</transferableflag>
		<keywords>PROCESSAMENTO DIGITAL DE IMAGENS, SEMI-ARIDO (REGIAO NORDESTE), PERDAS DE SOLO, MAPEADOR TEMATICO (LANDSAT), IMAGENS LANDSAT, ANALISE DO COMPONENTE PRINCIPAL.</keywords>
		<abstract>This study shows a methodological approach to evaluate soil losses and environmental vulnerability of the semi-arid regime on the northeast of Brazil. In order to perform this work Landsat/TM bands (red and infrared), from distinct hydrological periods were used by PCA (Principal Component Analysis). The results obtained indicate different features of the land use changes, that were categorized on three landscape classes of the environmental status:degraded area, no-degraded and areas with regeneration process. The image processing adopted was very suitable for the goals, demonstrating the capability of the orbital data for monitoring the semi-arid landscape.</abstract>
		<area>SRE</area>
		<type>Processamento de Imagens</type>
		<language>Pt</language>
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